We performed a comparison between Microsoft BI and SAP BusinessObjects Business Intelligence Platform based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Microsoft BI comes out on top in this comparison. It is reliable and easy to use. In addition, when compared with SAP BusinessObjects, it is easier to set up, less expensive, and has better customer support.
"This solution has improved our ability in making decisions and explaining data."
"The interface is very easy to use."
"It has provided customer purchase patterns and great visualization."
"Being able to transfer data with the Power Query feature is great for teaching with about one to two hundred rows of data. I am also able to see the relationship between multiple tables and create various sheets and dashboards."
"I think the visualization part is valuable."
"The most valuable feature of the solution is that it is an easy-to-use tool."
"Premium features that used to cost $5,000 per company per month recently became a lot more accessible. Microsoft recently implemented a per user feature in Power BI Premium; it's $20 per month."
"The user interface is easy to work with."
"The reporting features the solution offers are excellent."
"One of the most valuable features of SAP BusinessObjects is that it's not a dashboarding solution. It's a real product. You can create operational reports and publish it to anyone. You can create schedules. You can create a Universe, semantic layers. There's also a security configuration. It's a huge product, so if there is a business need, SAP BusinessObjects can cover it."
"Through the use of Business Intelligence reporting and scheduling features, reports are generated and automatically sent according to a schedule. This has freed up countless hours spent performing the same tasks, month over month."
"The features which the solution has been awesome. The way the data is fetched from the database, and the queries are executed, is unique using the Universe of Business Objects. That makes it unique and we could not find another solution that functions in a similar way. It's has a great way of receiving and executing queries."
"The scheduling and publication features are very useful."
"This reporting and broadcasting solution has a lot of flexibilities and can connect to multiple source systems."
"The planning and dashboarding features have been useful. Additionally, the fixed-format reports are good."
"The platform uses a lot of Java technologies so the performance and system-level management are tricky because it needs a lot of resources."
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"It is too slow. I hope in future it will be a comparable big data tool, such as, for example, Data Lake."
"The graphic interface could be better."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"Microsoft is behind IBM when it comes to security features."
"Most of the dashboarding tools have prebuilt graphs. So, you have to stick with them, unless you are going to use a third-party tool to create them, and then you are going to upload them to the BI tool. In Power BI, they started supporting this functionality and created a tool for that, but it isn't yet complete and mature. It is still exceeding the expectations and is better than most of the BI tools when it comes to creating custom graphs, but it needs more enhancement and simplification. It would be good to have a design tool provided by Power BI to design the graphs that we want and set the figures that we want on them."
"When you go to the cloud, its licensing is not intuitive. It is a little bit complex. When you have to purchase a new license, it is difficult to understand on their website what exactly you need to pay and how you can group. It is something that is applicable to all Microsoft products. They're not always so simple and clear when it comes to licensing. Their support can also be better in terms of explaining how they resolved an issue and what steps they took to resolve it. They are able to resolve the issue, but they can be better at explaining the approach they took to resolve the issue. It could have something in the direction of machine learning. It can have some kind of integration with machine learning where you can ask for some reports with natural language."
"They asked you to pay if you want to synchronize more than eight times, you would have to go to a Power BI enterprise license, which is much more costly."
"The reporting needs to be improved."
"SAP BusinessObjects Business Intelligence Platform is lacking dashboards and this would be the only reason we are looking for another solution."
"More thorough testing of Service Packs before release."
"It needs to be more flexible for the end-user."
"The performance could be improved, like when we extract a large amount of data."
"There is room for improvement in providing more user-friendly and versatile reporting options."
"SAP BusinessObjects Business Intelligence Platform is an outdated solution that is missing many features."
"The interface could be slicker and more user-friendly."
"Over the years, the product tends to rename and rebrand itself and change its direction. This is a deficit of the solution."
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Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while SAP BusinessObjects Business Intelligence Platform is ranked 6th in BI (Business Intelligence) Tools with 102 reviews. Microsoft Power BI is rated 8.0, while SAP BusinessObjects Business Intelligence Platform is rated 7.8. The top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of SAP BusinessObjects Business Intelligence Platform writes "Web intelligence will work with any amount of data even if you have 10 million rows". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Salesforce Einstein Analytics, whereas SAP BusinessObjects Business Intelligence Platform is most compared with SAP Analytics Cloud, Oracle OBIEE, IBM Cognos, MicroStrategy and Looker. See our Microsoft Power BI vs. SAP BusinessObjects Business Intelligence Platform report.
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All the traditional BI platforms including Business Objects and Microsoft Reporting services and Analysis services require IT involvement almost at every step in preparing the data and report.
Self serve BI is the promise to these business analysts without technology background. However following characteristics are a must to meet the self serve BI dream.
- BI tool should be capable of reading data from its source without a dependency on ETL or a warehouse.
- While a dimensional model gives most flexibility for ad hoc data analysis, it brings a overhead of consistent modeling mindset requiring very technical background.
- Ability to convert grid data into visualization and vice versa with few clicks
- Ability to mashup multiple analysis from multiple sources on to a single screen.
- Finally a framework that let's end users seamlessly build their analysis while IT can throttle, govern, audit and scale end user data needs with a great amount of automation behind the scenes as a continuous process as opposed to be a pre process.
Two such platforms I have come across are
1) Tableau
2) CarbonBI
These solutions seem good for Visualizations. I like Pentaho personally. Wondering why the this suggestion hasn't been made??
Sap business objects can provide a sophisticated self service solution that is very easy for the end users to engage with for both ad hoc analysis and report writing and distribution. However as with all Bi solutions the back end data warehouse must be designed intelligently and business objects universes configured correctly. The same thing really applies no matter what toolset you select. If you already have business objects then it makes sense to ask IT to set it up as a self service solution rather than look for another technology. If IT do not have the skills then look for a good consultant to perform a review of your BI solution and make recommendations.
Nick,
Good comments similar to the points I was making. I think that it is still
important to consider how much data you expect to be dealing with, the
tool's analytical architecture (ROLAP or MOLAP), the sophistication of your
analyst end users, and how complex your reports are likely to be. If you
or the analysts expect that solution development is going to be in the
hands of the analyst, then the tool needs to be relatively easy to learn.
On the last point, if you expect a lot of slicing-and-dicing you need an
architecture that will support the high indexing load. Anyway, success and
use acceptance is not just a question of apparent simplicity and seemingly
low cost.
regards,
Keith Breedlove
Polyglot Analytics, LLC
Groveland, FL
I suggest Power Data, the new Microsoft develop.
Try Tableau.
I would suggest looking at Tableau for requirements of self-service nature. The success factor for a self service tool depends on the ease-of-use for the end-user who is less proficient in IT skills and the range of tasks it allows the end user to accomplish. Tableau scores highly on both these parameters. Backed by a well designed data mart, Tableau can be the solution that pretty much allows the end user to replace the need for IT. It has excellent training materials available in one-click and many forums where people are ready share their cool experiences. Developing a report in Tableau for me was more like playing a video game, a throughly enjoyable experience to get to a cool end-product. You want the end-users to cherish the process of creation and Tableau does that with ease.
I would focus on Tableau and MicroStrategy (we went with MSTR several years ago to supplant BO), although QlickView has its proponents for ease of use...